Semantic annotation of hierarchical taxonomies

Hierarchical taxonomies (HTs) like Web directories or marketplace catalogs are used to organize documents in a way that helps user in their retrieval. However, using HTs in tasks like automatic schema mapping or automatic services discovery requires the semantics of HTs hidden in their structures and labels to be made explicit. The goal of this paper is given a hierarchical taxonomy, return an interpretation of each node in terms of a logical formula built from word senses. In the proposed methodology we rely on a linguistic repositoryWordNet and we use Bayesian networks as a tool for the word sense disambiguation.